TY - GEN
T1 - Robotics and Artificial Intelligence (R+AI) Solutions
T2 - 1st European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2019
AU - Rivera-Hernaez, Olga
AU - Lopez-Lopez, David
AU - Zaldo-Santamaria, José Miguel
N1 - Publisher Copyright:
© European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2019.
PY - 2019
Y1 - 2019
N2 - Until the moment the impact of R+AI on the quality and quantity of human employment has been estimated using different methods and its results creates big controversy because they are contradictory and not conclusive. R+AI is a set of disruptive technologies (Christensen, 2015) that are passing from the laboratory to commercial products, organizational settings, and business models (Bagnoli, Dal Mas, and Massaro, 2019). This travel requires strong innovation capabilities from the companies that offer those R+AI solutions but also enormous organizational innovation from the firms and individuals that become its users. Along this innovation process different kind of products and solutions are emerging, with a great diversity of goals and possible impacts in employment. In this paper we put the focus in the identification of the different types of R+AI solutions being developed and implemented by companies, instead of concentrating in the general possibilities of the R+AI technologies. Using a specific questionnaire and analyzing a sample of Spanish companies working on R+AI solutions, we show that the expected impact in employment will be radically different depending on the innovation strategies applied by companies. We conclude reflecting about the implications this can have for further research and decision-makers.
AB - Until the moment the impact of R+AI on the quality and quantity of human employment has been estimated using different methods and its results creates big controversy because they are contradictory and not conclusive. R+AI is a set of disruptive technologies (Christensen, 2015) that are passing from the laboratory to commercial products, organizational settings, and business models (Bagnoli, Dal Mas, and Massaro, 2019). This travel requires strong innovation capabilities from the companies that offer those R+AI solutions but also enormous organizational innovation from the firms and individuals that become its users. Along this innovation process different kind of products and solutions are emerging, with a great diversity of goals and possible impacts in employment. In this paper we put the focus in the identification of the different types of R+AI solutions being developed and implemented by companies, instead of concentrating in the general possibilities of the R+AI technologies. Using a specific questionnaire and analyzing a sample of Spanish companies working on R+AI solutions, we show that the expected impact in employment will be radically different depending on the innovation strategies applied by companies. We conclude reflecting about the implications this can have for further research and decision-makers.
KW - Artificial Intelligence
KW - Innovation
KW - Jobs displacement
KW - Robotics
KW - Strategies
UR - http://www.scopus.com/inward/record.url?scp=85149807830&partnerID=8YFLogxK
U2 - 10.34190/ECIAIR.19.021
DO - 10.34190/ECIAIR.19.021
M3 - Conference contribution
AN - SCOPUS:85149807830
T3 - European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2019
SP - 266
EP - 276
BT - European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2019
A2 - Griffiths, Paul
A2 - Kabir, Mitt Nowshade
PB - Academic Conferences and Publishing International Limited
Y2 - 31 October 2019 through 1 November 2019
ER -